Privacy Data Decomposition and Discretization Method for SaaS Services
Joint Authors
Xiao, Fu
Huang, Zhiqiu
Liu, Linyuan
Ke, Changbo
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In cloud computing, user functional requirements are satisfied through service composition.
However, due to the process of interaction and sharing among SaaS services, user privacy data tends to be illegally disclosed to the service participants.
In this paper, we propose a privacy data decomposition and discretization method for SaaS services.
First, according to logic between the data, we classify the privacy data into discrete privacy data and continuous privacy data.
Next, in order to protect the user privacy information, continuous data chains are decomposed into discrete data chain, and discrete data chains are prevented from being synthesized into continuous data chains.
Finally, we propose a protection framework for privacy data and demonstrate its correctness and feasibility with experiments.
American Psychological Association (APA)
Ke, Changbo& Huang, Zhiqiu& Xiao, Fu& Liu, Linyuan. 2017. Privacy Data Decomposition and Discretization Method for SaaS Services. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190494
Modern Language Association (MLA)
Ke, Changbo…[et al.]. Privacy Data Decomposition and Discretization Method for SaaS Services. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190494
American Medical Association (AMA)
Ke, Changbo& Huang, Zhiqiu& Xiao, Fu& Liu, Linyuan. Privacy Data Decomposition and Discretization Method for SaaS Services. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190494